Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms

Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms

In this study, a regional convolutional neural network (RCNN)-based deep learning and Hough line transform (HLT) algorithm are applied to monitor corroded and loosened bolts in steel structures. The monitoring goals are to detect rusted bolts distinguished from non-corroded ones and also to estimate...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Quoc-Bao Ta, Jeong-Tae Kim
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2020-12-01
Schriftenreihe:Sensors
Schlagworte:
deep learning
image-based monitoring
regional convolutional neural network
Hough line transform
bolt corrosion
bolt-loosening
Online Zugang:https://www.mdpi.com/1424-8220/20/23/6888

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https://www.mdpi.com/1424-8220/20/23/6888

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